QuantumBlack, AI by McKinsey vs Future Processing: full comparison for 2026
Quick verdict
QuantumBlack, AI by McKinsey (4.6/5) edges ahead of Future Processing (3.8/5) overall. QuantumBlack, AI by McKinsey is the better choice for large enterprises running AI as a CEO-level program. Future Processing is the stronger option for mid-size firms wanting AI advice at Central European rates. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
QuantumBlack, AI by McKinsey vs Future Processing: head-to-head summary
| Criterion | QuantumBlack, AI by McKinsey | Future Processing |
|---|---|---|
| Founded | 2009 | 2000 |
| HQ | London, UK (McKinsey HQ: New York, USA) | Gliwice, Poland |
| Team size | 1,000+ | 250–999 |
| Rating | 4.6 / 5 | 3.8 / 5 |
| Primary differentiator | Board-level strategy and change management backed by McKinsey's own AI engineering group | AI readiness and strategy work at published Central European rates |
| Pricing model | Project fees set per engagement; rates not published | $50–$99/hr (Clutch band); fixed-price and time & materials |
| Min. engagement | Not disclosed | $25,000+ (Clutch) |
| Primary tech stack | Kedro, Vizro, AWS | AWS, Azure, Python |
| Industries served | Banking & insurance, Healthcare & life sciences, Consumer & retail, Manufacturing, Energy, Public sector | Financial services, Energy & utilities, Healthcare, Retail, Logistics |
QuantumBlack, AI by McKinsey vs Future Processing: overview
QuantumBlack, AI by McKinsey
QuantumBlack started in London in 2009 as an independent analytics firm and has been part of McKinsey & Company since 2015. McKinsey says it now has more than 1,000 technical practitioners, plus an R&D group, QuantumBlack Labs, of around 200 engineers, designers, and data scientists (per company website; independently unverifiable). A typical engagement pairs a strategy team that works with the chief executive and board with data scientists who build the first models, so the roadmap and the proof come from one firm. That access to the top of a company is the main reason to hire it. Price is the other side of it: fees follow McKinsey's own levels and are not published.
Future Processing
Future Processing was founded in 2000 in Gliwice, Poland, and Clutch puts it at 250–999 employees. AI consulting and AI development each make up about a tenth of its work, per its Clutch profile, next to general software engineering. Clutch named it a 2026 Top AI Strategy Company and lists a $50–$99 hourly band with a $25,000+ minimum project. A mid-size company that wants a readiness check and a modest first project at Central European rates has a reasonable option here.
Services and capabilities: QuantumBlack, AI by McKinsey vs Future Processing
| Capability | QuantumBlack, AI by McKinsey | Future Processing |
|---|---|---|
| Readiness assessment | ✗ | ✓ |
| Use-case prioritization | ✓ | ✗ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✗ |
| Build vs. buy advice | ✗ | ✓ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✓ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: QuantumBlack, AI by McKinsey vs Future Processing
| Framework / platform | QuantumBlack, AI by McKinsey | Future Processing |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | ✓ | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: QuantumBlack, AI by McKinsey vs Future Processing
| Criterion | QuantumBlack, AI by McKinsey | Future Processing |
|---|---|---|
| Minimum engagement | Not disclosed | $25,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Readiness assessment, Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: QuantumBlack, AI by McKinsey vs Future Processing
| Dimension | QuantumBlack, AI by McKinsey | Future Processing |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Banking & insurance, Healthcare & life sciences, Consumer & retail | Financial services, Energy & utilities, Healthcare |
| Best use cases | Setting an enterprise AI agenda that the CEO and board will own., Redesigning operating models and roles around AI at a large company. | AI readiness checks for a mid-size company., Build-or-buy advice on a first AI tool. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
QuantumBlack, AI by McKinsey vs Future Processing: pros and cons
| QuantumBlack, AI by McKinsey | |
|---|---|
| + | Strategy teams work directly with chief executives and boards, which helps when AI spending needs sign-off at the very top |
| + | Change management and capability-building programs come from the same firm that wrote the strategy |
| + | Its own engineers build the first models, so feasibility gets tested before the roadmap is final |
| + | Maintains open-source tools (Kedro, Vizro) that show real engineering practice behind the advice |
| + | Industry depth across banking, health, consumer goods, and energy |
| - | Fees at McKinsey levels put it out of reach for most mid-market budgets |
| - | The firm that writes the roadmap also sells the follow-on work, so the plan may lean toward what McKinsey can deliver |
| - | Large programs mix partners with junior consultants, so confirm who will actually do the work |
| Future Processing | |
|---|---|
| + | Published Clutch rates and minimum make budgeting simple |
| + | Named a 2026 Top AI Strategy Company by Clutch |
| + | Twenty-five years of software delivery behind the build |
| + | Readiness assessments suit companies just starting with AI |
| - | AI is a minority of its business |
| - | Thin on regulatory and board-level strategy work |
| - | Strategy deliverables can lean toward the software it would build next |
Who should choose QuantumBlack, AI by McKinsey?
A typical fit: setting an enterprise AI agenda that the CEO and board will own.
Board-level strategy and change management backed by McKinsey's own AI engineering group. Minimum engagement is not publicly disclosed. Works best with clients in Banking & insurance, Healthcare & life sciences, Consumer & retail, Manufacturing, Energy, Public sector.
Who should choose Future Processing?
A typical fit: AI readiness checks for a mid-size company.
AI readiness and strategy work at published Central European rates. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Financial services, Energy & utilities, Healthcare, Retail, Logistics.
Decision matrix: QuantumBlack, AI by McKinsey vs Future Processing
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | QuantumBlack, AI by McKinsey |
| AI will change roles and processes for many staff | QuantumBlack, AI by McKinsey |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: QuantumBlack, AI by McKinsey (Not disclosed) vs Future Processing ($25,000+ (Clutch)) |
| You need a large team across many countries | QuantumBlack, AI by McKinsey |
Use case fit: QuantumBlack, AI by McKinsey vs Future Processing
| Use case | QuantumBlack, AI by McKinsey fit | Future Processing fit | Winner |
|---|---|---|---|
| Setting an enterprise AI agenda that the CEO and board will own. | Strong | Limited | QuantumBlack, AI by McKinsey |
| Redesigning operating models and roles around AI at a large company. | Strong | Limited | QuantumBlack, AI by McKinsey |
| AI readiness checks for a mid-size company. | Limited | Strong | Future Processing |
| Build-or-buy advice on a first AI tool. | Limited | Strong | Future Processing |
Verdict: QuantumBlack, AI by McKinsey vs Future Processing
QuantumBlack, AI by McKinsey (4.6/5) is the stronger overall choice for most AI Strategy Consulting projects. Board-level strategy and change management backed by McKinsey's own AI engineering group.
Future Processing (3.8/5) is worth a look if you need build-or-buy advice on a first AI tool. If your situation matches that, Future Processing is a competitive option.
Related comparisons
QuantumBlack, AI by McKinsey vs Future Processing FAQ
Is QuantumBlack, AI by McKinsey better than Future Processing?
QuantumBlack, AI by McKinsey (4.6/5) scores higher overall, but "better" depends on your use case. QuantumBlack, AI by McKinsey's strongest advantage: strategy teams work directly with chief executives and boards, which helps when AI spending needs sign-off at the very top. Future Processing's strongest advantage: published Clutch rates and minimum make budgeting simple.
How do QuantumBlack, AI by McKinsey and Future Processing differ in pricing?
QuantumBlack, AI by McKinsey's pricing: project fees set per engagement; rates not published. Future Processing's pricing: $50–$99/hr (Clutch band); fixed-price and time & materials with a minimum engagement of $25,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: QuantumBlack, AI by McKinsey or Future Processing?
QuantumBlack, AI by McKinsey is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between QuantumBlack, AI by McKinsey and Future Processing?
QuantumBlack, AI by McKinsey's primary differentiator is: board-level strategy and change management backed by McKinsey's own AI engineering group. Future Processing's primary differentiator is: AI readiness and strategy work at published Central European rates. They also differ in team size (1,000+ vs 250–999), minimum engagement (Not disclosed vs $25,000+ (Clutch)), and primary industries served (Banking & insurance, Healthcare & life sciences vs Financial services, Energy & utilities).
Verify all details directly with each consultant before making a decision.